Opencv does not implement the gpu version of the sgbm algorithm, this project is based on the opencv sgbm algorithm. After my test, it is 3-4 times faster than the cpu version of the opencv sgbm algorithm, and the effect is exactly the same as opencv sgbm. The maximum disparity can be set to an integer multiple of 32, the maximum is 256.
After other people’s tests, the input image size is recommended to be 640*480. I don't limit the size of the image in the program, but I don't know why other sizes can't work.
NOTE: This bug was fixed partly in commit
df82a9f2c4c2369bd6b327def4da6ad928375c3e, max image size = [2048, 1024]
How to compile and use
mkdir build
cd build
cmake ..
make
Regarding the use of the program, you can look at the program logic in the main function, which is very simple.
Finally
The program is based on opencv3.4 and cuda9.0, and the program assumes that the left and right images have been corrected.
Program performance display
If you want to watch the recorded demo video, click
Road effect .This video is not subject to any post processing, such as acceleration
or
If you find this program useful, please give me a star, thank you.